<snapdata remixID="14773042"><project name="Example Debugging Practice" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Example Debugging Practice"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="DrawPolygon %&apos;numSides&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doRepeat"><block var="numSides"/><script><block s="forward"><l>25</l></block><block s="turn"><block s="reportQuotient"><l>360</l><block var="numSides"/></block></block></script></block></script></block-definition></blocks><primitives></primitives><stage name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="true" hyperops="true" codify="false" inheritance="true" sublistIDs="false" id="19"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="20"></list></costumes><sounds><list struct="atomic" id="21"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="10" y="-32.99999999999977" heading="90.00000000000045" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="22,227,0,1" pen="tip" id="26"><costumes><list struct="atomic" id="27"></list></costumes><sounds><list struct="atomic" id="28"></list></sounds><blocks></blocks><variables></variables><scripts><script x="239" y="113"><block s="receiveGo"></block><block s="clear"></block><block s="doAsk"><l>Enter total number of shapes</l></block><block s="doRepeat"><block s="getLastAnswer"></block><script><block s="gotoXY"><block s="reportRandom"><l>-180</l><l>180</l></block><block s="reportRandom"><l>-180</l><l>180</l></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="xPosition"></block><l>40</l></list></block><script><block s="down"></block><block s="setColor"><color>0,12,127,255</color></block><custom-block s="DrawPolygon %n"><l>6</l></custom-block><block s="up"></block><block s="doWait"><l>1</l></block></script><list><block s="reportVariadicLessThan"><list><block s="xPosition"></block><l>-40</l></list></block><script><block s="down"></block><block s="setColor"><color>189,0,107,255</color></block><custom-block s="DrawPolygon %n"><l>5</l></custom-block><block s="up"></block><block s="doWait"><l>1</l></block></script><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicLessThan"><list><block s="xPosition"></block><l>-40</l></list></block><block s="reportVariadicGreaterThan"><list><block s="xPosition"></block><l>40</l></list></block></list></block></block><script><block s="down"></block><block s="setColor"><color>22,227,0,1</color></block><custom-block s="DrawPolygon %n"><l>3</l></custom-block><block s="up"></block><block s="doWait"><l>1</l></block></script></list></block></script></block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="Example Debugging Practice" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"></media></snapdata>